Csaba Léránth

137 papers receiving 8.1k citations

Peers

Csaba Léránth
Comparison fields: 5 of 122
  • Behavioral Neuroscience 1.1k
  • Cellular and Molecular Neuroscience 4.9k
  • Developmental Neuroscience 964
  • Cognitive Neuroscience 2.7k
  • Endocrine and Autonomic Systems 857
Replace Jean M. Lauder with:
Jean M. Lauder United States
Alain Beaudet Canada
George Paxinos Australia
Richard F. Thompson United States
P.C. Emson United Kingdom
Kim B. Seroogy United States
Csaba Leranth United States
Maya Frankfurt United States
John R. Sladek United States
Nicholas C. Brecha United States
Csaba Léránth relative to Jean M. Lauder United States Jean M. Lauder's profile →
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Citations per year

Countries citing papers authored by Csaba Léránth

Since Specialization
Citations

This map shows the geographic impact of Csaba Léránth's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Csaba Léránth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Csaba Léránth more than expected).

Fields of papers citing papers by Csaba Léránth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Csaba Léránth. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Csaba Léránth. The network helps show where Csaba Léránth may publish in the future.

Co-authors

The 25 scholars most cited alongside Csaba Léránth, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Csaba Léránth Line = papers co-authored together Csaba Léránth links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 138 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1985550
2 1992427
3 2003355
4 2007261
5 1997261
6 2000233
7 1989196
8 2004179
9 1987176
10 1988174
11 1986174
12 1990164
13 1996157
14 2000153
15 1993130
16 2000119
17 2009116
18 1991115
19 2013112
20 2000109

About Csaba Léránth

Csaba Léránth is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Developmental Neuroscience, Reproductive Medicine and Behavioral Neuroscience, having authored 138 papers that have together received 8.4k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (66 papers), Memory and Neural Mechanisms (28 papers), Hypothalamic control of reproductive hormones (20 papers), Neurogenesis and neuroplasticity mechanisms (16 papers), Stress Responses and Cortisol (16 papers), Neuroendocrine regulation and behavior (15 papers), Receptor Mechanisms and Signaling (15 papers) and Neuropeptides and Animal Physiology (15 papers). The work is most often cited by research in Behavioral Neuroscience (1.1k citations), Cellular and Molecular Neuroscience (4.9k citations), Developmental Neuroscience (964 citations), Cognitive Neuroscience (2.7k citations) and Endocrine and Autonomic Systems (857 citations). Csaba Léránth has collaborated with scholars based in United States, Hungary and Germany. Frequent co-authors include Michael Frotscher, Neil James MacLusky, Frederick Nicholas Naftolin, Tibor Hajszán, Tamás L. Horváth, Robert Howard Roth, Marya Shanabrough, John D. Elsworth, Robert Nitsch and Meenakshi Alreja. Their work appears in journals such as The Journal of Comparative Neurology, Neuroscience, Experimental Brain Research, Journal of Neuroscience and Neuroendocrinology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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